JOB DESCRIPTION

Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Warren – GM Global Technical Center three times per week, at minimum or other frequency dictated by the business.
Are you passionate about shaping the future of data architecture in automotive systems , plant operations, purchasing and supply chain ? Do you thrive in designing scalable, compliant, and high-performance data models that empower analytics and AI/ML innovation? If so, we invite you to join our team as a Senior Business Intelligence Data Modeler.
You will lead the end-to-end architecture and modeling of enterprise analytics environments, collaborating with cross-functional teams to deliver robust, future-ready data solutions. Your work will directly impact decision-making and operational efficiency across the enterprise.

What You’ll Do (Responsibilities) :

• Architect and model enterprise analytics environments across automotive systems , plant operations, purchasing and supply chain.
• Design logical and physical data models integrating multiple systems to support med allion architecture .
• Develop and maintain schemas (star, snowflake), data dictionaries, and metadata for consistency and compliance.
• Lead modernization efforts including legacy migrations and cloud/ lakehouse adoption using platforms like Databricks.
• Establish and enforce best practices, standards, and architectural blueprints across hybrid environments
• Collaborate with engineering, IT, purchasing and supply chain business partners to align architecture with business goals
• Mentor team members and additional modelers ; conduct design reviews and promote technical excellence
• Champion data governance, security, and master data management in sensitive and regulated domains

What You’ll Do (Responsibilities) :

• Architect and model enterprise analytics environments across automotive systems , plant operations, purchasing and supply chain.
• Design logical and physical data models integrating multiple systems to support med allion architecture .
• Develop and maintain schemas (star, snowflake), data dictionaries, and metadata for consistency and compliance.
• Lead modernization efforts including legacy migrations and cloud/ lakehouse adoption using platforms like Databricks.
• Establish and enforce best practices, standards, and architectural blueprints across hybrid environments
• Collaborate with engineering, IT, purchasing and supply chain business partners to align architecture with business goals
• Mentor team members and additional modelers ; conduct design reviews and promote technical excellence
• Champion data governance, security, and master data management in sensitive and regulated domain